Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management
Databases
2026-02-06 v3 Signal Processing
Abstract
Central to the efficacy of prognostics and health management methods is the acquisition and analysis of degradation data, which encapsulates the evolving health condition of engineering systems over time. Degradation data serves as a rich source of information, offering invaluable insights into the underlying degradation processes, failure modes, and performance trends of engineering systems. This paper provides an overview of publicly available degradation data sets.
Keywords
Cite
@article{arxiv.2403.13694,
title = {Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management},
author = {Fabian Mauthe and Christopher Braun and Julian Raible and Peter Zeiler and Marco F. Huber},
journal= {arXiv preprint arXiv:2403.13694},
year = {2026}
}